Jamming and eavesdropping defense scheme based on deep reinforcement learning in autonomous vehicle networks
As a legacy from conventional wireless services, illegal eavesdropping is regarded as one
of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network …
of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network …
Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
UAV-enabled secure communications by multi-agent deep reinforcement learning
Unmanned aerial vehicles (UAVs) can be employed as aerial base stations to support
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …
Physical layer security assisted computation offloading in intelligently connected vehicle networks
In this paper, we propose a secure computationoffloading scheme (SCOS) in intelligently
connected vehicle (ICV) networks, aiming to minimize overall latency of computing via …
connected vehicle (ICV) networks, aiming to minimize overall latency of computing via …
UAV-aided cellular communications with deep reinforcement learning against jamming
Cellular systems have to resist smart jammers that can optimize their selection of jamming
channels and powers based on the estimated ongoing network states. In this article, we …
channels and powers based on the estimated ongoing network states. In this article, we …
UAV-enabled cooperative jamming for improving secrecy of ground wiretap channel
This letter proposes a novel unmanned aerial vehicle (UAV)-enabled mobile jamming
scheme to improve the secrecy rate of ground wiretap channel. Specifically, a UAV is …
scheme to improve the secrecy rate of ground wiretap channel. Specifically, a UAV is …
Anti-intelligent UAV jamming strategy via deep Q-networks
The downlink communications are vulnerable to intelligent unmanned aerial vehicle (UAV)
jamming attack. In this paper, we propose a novel anti-intelligent UAV jamming strategy, in …
jamming attack. In this paper, we propose a novel anti-intelligent UAV jamming strategy, in …
Secure transmission scheme based on joint radar and communication in mobile vehicular networks
Vehicle-to-vehicle (V2V) communication applications face significant challenges to security
and privacy since all types of possible breaches are common in connected and autonomous …
and privacy since all types of possible breaches are common in connected and autonomous …
Safe exploration in wireless security: A safe reinforcement learning algorithm with hierarchical structure
Most safe reinforcement learning (RL) algorithms depend on the accurate reward that is
rarely available in wireless security applications and suffer from severe performance …
rarely available in wireless security applications and suffer from severe performance …
User-centric view of unmanned aerial vehicle transmission against smart attacks
Unmanned aerial vehicle (UAV) systems are vulnerable to smart attackers, who are selfish
and subjective end-users and use smart radio devices to change their attack types and …
and subjective end-users and use smart radio devices to change their attack types and …